Scientist I/II, X-ray Diffraction Characterization

Highlights

• Turn X-ray diffraction into trusted data for AI-driven materials discovery.
• Build automated characterization workflows across powder and thin-film systems.
• Partner with AI and automation teams to scale reliable scientific data.

What they offer

• Bonus potential
• Early-stage equity
• Medical, dental and vision coverage
• Employer-paid life and disability insurance
• Flexible time off with company holidays
• Paid parental leave
• Educational assistance program
• Commuter benefits

Ideal candidate

An experimental materials scientist who loves turning complex diffraction data into reliable, reproducible insights. You care deeply about data quality and thrive collaborating across science, AI, and automation teams.

Requirements

• PhD in Materials Science, Chemistry, Physics, Applied Physics, Engineering, or related field, or M.S. with equivalent hands-on characterization experience
• Hands-on experience with X-ray diffraction methods, including PXRD and related materials characterization workflows
• Strong understanding of diffraction principles, phase identification, microstructure analysis and structure-property relationships
• Experience preparing samples for XRD measurement, validating methods, interpreting data, and troubleshooting issues
• Experience with XRD analysis software, scientific data analysis, or scripting for data processing
• Ability to turn characterization workflows into reliable, structured, machine-readable data
• Clear communication skills for working across scientific, AI, automation, and software teams